Skip to content
SERVICE
AI Compliance
Deploy AI you can stand over, with your board and your regulator.
Compliance by design
AI is now regulated. The EU AI Act, GDPR and a growing list of sector rules mean the question is no longer only whether your models work, but whether you can prove they are fair, explainable and under control. Compliance bolted on at the end is slow, costly and rarely convincing.
Idiro builds compliance into the way AI is designed, deployed and operated, covering the EU AI Act, governance and accountability, explainability, bias and fairness, data protection and human oversight. We have delivered bias audits, ethics reviews and compliance programmes for regulated clients across financial services, telecoms and the public sector.
Where this engagement helps
The patterns we see most often in clients who reach out about AI compliance.
Regulatory uncertainty
The EU AI Act is here and obligations differ by risk tier. Most teams are unsure which rules apply to which use case.
Black-box exposure
Models that cannot be explained to a regulator, an auditor or an affected customer are a growing liability.
Bias and fairness risk
No systematic testing for discriminatory outcomes, and no evidence trail if a decision is challenged.
What AI compliance covers
Compliance is not a single control, it is a set of interlocking obligations across the AI lifecycle.
EU AI Act readiness
Classify your use cases against the Act’s risk tiers and map the obligations that apply to each.
Governance & accountability
Clear ownership, model-risk management and approval workflows for AI decisions.
Explainability & transparency
Make model decisions interpretable for regulators, auditors and the people they affect.
Bias & fairness testing
Systematic checks for discriminatory outcomes, with an evidence trail you can defend.
Data protection & privacy
GDPR-aligned data handling, lawful basis and privacy controls across the AI lifecycle.
Human oversight & monitoring
Meaningful human review, ongoing monitoring and clear escalation when models misbehave.
Outcomes you can expect
Measurable change, not just a deliverable.
- A documented compliance position for every AI use case
- Models you can explain and defend to a regulator or auditor
- Bias and fairness evidence that stands up to challenge
What’s included
- EU AI Act gap analysis
- AI governance & policy framework
- Bias & fairness audits
- Explainability & model documentation
- Human-oversight & monitoring design
Related case studies
Common questions
It applies by risk tier and by role. Most organisations are deployers rather than providers, which carries lighter but real obligations.
A structured test of a model’s data, performance, fairness and documentation, producing evidence you can hand to a regulator, a customer or a board.
Largely, yes. Deployer obligations do not transfer to the vendor, so you need evidence from them and controls of your own.
Two to four weeks for a single system. Portfolio reviews scale with the number of models in scope.
A findings report, a fix list ranked by risk, the evidence pack, and wording you can publish or give to candidates and customers.
No. We provide technical and statistical evidence. Your counsel decides the legal position, and we are used to working alongside them.
Talk to one of our consultants
A 30-minute call is usually enough to know if an AI compliance review is the right next step, and to scope it accurately if it is.